Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Re-imagining discharge summary training through artificial intelligence
0
Zitationen
5
Autoren
2026
Jahr
Abstract
<b>What are the next steps?</b> Full implementation and evaluation including reliability, learner acceptance, and educational impact of this model is being planned for an entire medical student cohort to replace the existing small-group, faculty-facilitated sessions. The success of such cGen-AI approach for DS training can also be extended to other similar domains of medical training in the future.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.593 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.483 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.003 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.824 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.